ASUS System Product Name
Geekbench AI Score
5445
Single Precision Score
1821
Half Precision Score
8874
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | solitto |
| Upload Date | May 29 2025 03:00 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z690 HERO EVA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4477
832.6 IPS |
|
|
Image Classification (HP)
|
100% |
672
125.0 IPS |
|
|
Image Classification (Q)
|
99% |
8408
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2337
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1093
17.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4197
68.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8251
9.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
4934
5.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
30838
36.2 IPS |
|
|
Object Detection (SP)
|
100% |
4120
326.8 IPS |
|
|
Object Detection (HP)
|
100% |
836
66.3 IPS |
|
|
Object Detection (Q)
|
86% |
8051
647.1 IPS |
|
|
Face Detection (SP)
|
100% |
11606
137.9 IPS |
|
|
Face Detection (HP)
|
100% |
2002
23.8 IPS |
|
|
Face Detection (Q)
|
97% |
12377
147.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12549
96.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2499
19.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
19049
152.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22832
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11944
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
30801
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3720
137.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2372
87.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5762
213.4 IPS |
|
|
Text Classification (SP)
|
100% |
1892
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
950
1.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1957
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2753
47.4 IPS |
|
|
Machine Translation (HP)
|
100% |
984
16.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4223
84.9 IPS |
